Exploring Industrial Equipment Modeling
summary
Argues that proprietary process simulators lack flexibility for rotary equipment and shows a working alternative built as python modules that model each compressor component, approximate performance curves, and compute precise fuel gas consumption across the full operating range. Integrates with petroleum expert software via an open server interface. Compares simulated vs assumed production profiles and shows cumulative errors that can reach hundreds of millions of dollars per year, shifting midpoint and abandonment timing and justifying upfront modeling investment.
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chapters (15)
- 0:00intro
- 0:22preamble
- 0:33agenda
- 1:28problem in a nutshell
- 3:24process
- 4:42we model best
- 5:22we model good
- 5:58we model not so well
- 6:40rotary equipment: gas compressor
- 7:50what is the problem?
- 9:09existing model software
- 10:12workarounds
- 12:18why is it important
- 12:45economics
- 15:50conclusions
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